Improvement of coated aluminum sheet pBRDF model based on scattering and phase function optimization

Area of Science:

• Optics and Photonics
• Remote Sensing
• Materials Science

Background:

• Polarized Bidirectional Reflectance Distribution Function (pBRDF) models are crucial for understanding light interaction with materials in space.
• The existing P-G model, while foundational, has limitations in accurately describing target polarization properties.
• Accurate polarization information is vital for space target detection and characterization.

Purpose of the Study:

• To identify and address the imperfections within the P-G model's assumption framework.
• To enhance the pBRDF model by incorporating scattering and phase functions.
• To improve the accuracy and precision of polarization information retrieval for space targets.

Main Methods:

• Analysis of the P-G model's assumption framework to identify limitations.
• Modification of the P-G model by adding scattering and phase functions.
• Parameter inversion and simulation to compare model outputs with experimental data.

Main Results:

• The enhanced pBRDF model demonstrates improved accuracy in relating material properties to polarized light.
• Simulations show a significant reduction in the relative error of target linear polarizability.
• The improved model provides more precise polarization information compared to the original P-G model.

Conclusions:

• The enhanced pBRDF model, incorporating scattering and phase functions, offers superior performance over the original P-G model.
• The study validates the model's accuracy and precision through comparison with experimental data.
• This work contributes to more reliable polarization detection and characterization of space targets.